ABSTRACT

Estimation of discharge hydrograph may be needed at river gauging stations where discharge is computed by converting water stage using a stage-discharge relation (a rating curve) or multiplying mean velocity by flow cross-sectional area. The mean velocity is computed by converting the measured maximum velocity to mean velocity using a conversion factor. Estimating the velocity conversion factor at stations where measured discharge data are insufficient remains a challenge. This study develops a novel method for determining the conversion factor by combining the entropy velocity profile, a data-driven technique, and a one-dimensional (1-D) flood routing model, and thus develops a method to determine discharge at the weak gauging sites. The method was used with two different assumptions: constant velocity factor and velocity factor depending on the aspect ratio. Results showed that this method optimally estimated the conversion factor.

摘要

在河测量站可能需要估算排放水位图，在这些测量站中，通过使用水位流量关系（额定曲线）转换水位或将平均速度乘以流量截面积来计算水流量。通过使用转换因子将测得的最大速度转换为平均速度来计算平均速度。在测得的排放数据不足的站点上估算速度转换因子仍然是一个挑战。这项研究开发了一种结合熵速度分布图，数据驱动技术和一维（1-D）洪水路径模型来确定转换因子的新方法，从而开发了一种在弱测量中确定排放量的方法网站。该方法用于两个不同的假设：恒定速度因子和速度因子取决于长宽比。结果表明，该方法可以最佳地估算转换因子。